






"""simple docstring"""





import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_xlnet import XLNetTokenizer
else:
  _SCREAMING_SNAKE_CASE   :							int          =		None


_SCREAMING_SNAKE_CASE   :							Optional[Any]          =		logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   :							List[str]          =		{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

_SCREAMING_SNAKE_CASE   :							List[str]          =		{
    '''vocab_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    },
    '''tokenizer_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json''',
    },
}

_SCREAMING_SNAKE_CASE   :							Dict          =		{
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

_SCREAMING_SNAKE_CASE   :							List[Any]          =		'''▁'''

# Segments (not really needed)
_SCREAMING_SNAKE_CASE   :							Tuple          =		0
_SCREAMING_SNAKE_CASE   :							Dict          =		1
_SCREAMING_SNAKE_CASE   :							Optional[int]          =		2
_SCREAMING_SNAKE_CASE   :							List[str]          =		3
_SCREAMING_SNAKE_CASE   :							int          =		4






class 	a		(   __snake_case						):
    SCREAMING_SNAKE_CASE		:	Any		=					VOCAB_FILES_NAMES
    SCREAMING_SNAKE_CASE		:	List[Any]		=					PRETRAINED_VOCAB_FILES_MAP
    SCREAMING_SNAKE_CASE		:	List[Any]		=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    SCREAMING_SNAKE_CASE		:	List[Any]		=					"""left"""
    SCREAMING_SNAKE_CASE		:	Optional[Any]		=					XLNetTokenizer






    def __init__(			self	:				Dict			,		__SCREAMING_SNAKE_CASE	:				int=None			,		__SCREAMING_SNAKE_CASE	:				int=None			,		__SCREAMING_SNAKE_CASE	:				str=False			,		__SCREAMING_SNAKE_CASE	:				Optional[int]=True			,		__SCREAMING_SNAKE_CASE	:				Optional[Any]=False			,		__SCREAMING_SNAKE_CASE	:				Optional[int]="<s>"			,		__SCREAMING_SNAKE_CASE	:				Union[str, Any]="</s>"			,		__SCREAMING_SNAKE_CASE	:				Optional[Any]="<unk>"			,		__SCREAMING_SNAKE_CASE	:				Any="<sep>"			,		__SCREAMING_SNAKE_CASE	:				Tuple="<pad>"			,		__SCREAMING_SNAKE_CASE	:				Optional[Any]="<cls>"			,		__SCREAMING_SNAKE_CASE	:				Union[str, Any]="<mask>"			,		__SCREAMING_SNAKE_CASE	:				List[str]=["<eop>", "<eod>"]			,		**__SCREAMING_SNAKE_CASE	:				Union[str, Any]			,		)	->						int:
      # Mask token behave like a normal word, i.e. include the space before it
      lowerCamelCase_       	=		AddedToken(__SCREAMING_SNAKE_CASE			,		lstrip=__SCREAMING_SNAKE_CASE			,		rstrip=__SCREAMING_SNAKE_CASE   ) if isinstance(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   ) else mask_token

      super().__init__(
          vocab_file=__SCREAMING_SNAKE_CASE			,		tokenizer_file=__SCREAMING_SNAKE_CASE			,		do_lower_case=__SCREAMING_SNAKE_CASE			,		remove_space=__SCREAMING_SNAKE_CASE			,		keep_accents=__SCREAMING_SNAKE_CASE			,		bos_token=__SCREAMING_SNAKE_CASE			,		eos_token=__SCREAMING_SNAKE_CASE			,		unk_token=__SCREAMING_SNAKE_CASE			,		sep_token=__SCREAMING_SNAKE_CASE			,		pad_token=__SCREAMING_SNAKE_CASE			,		cls_token=__SCREAMING_SNAKE_CASE			,		mask_token=__SCREAMING_SNAKE_CASE			,		additional_special_tokens=__SCREAMING_SNAKE_CASE			,		**__SCREAMING_SNAKE_CASE			,		)

      lowerCamelCase_       	=		3
      lowerCamelCase_       	=		do_lower_case
      lowerCamelCase_       	=		remove_space
      lowerCamelCase_       	=		keep_accents
      lowerCamelCase_       	=		vocab_file
      lowerCamelCase_       	=		False if not self.vocab_file else True






    def   UpperCamelCase			(			self	:				int			,		__SCREAMING_SNAKE_CASE	:				List[int]			,		__SCREAMING_SNAKE_CASE	:				Optional[List[int]] = None   )	->						List[int]:
      lowerCamelCase_       	=		[self.sep_token_id]
      lowerCamelCase_       	=		[self.cls_token_id]
      if token_ids_a is None:
        return token_ids_a + sep + cls
      return token_ids_a + sep + token_ids_a + sep + cls






    def   UpperCamelCase			(			self	:				Tuple			,		__SCREAMING_SNAKE_CASE	:				List[int]			,		__SCREAMING_SNAKE_CASE	:				Optional[List[int]] = None   )	->						List[int]:
      lowerCamelCase_       	=		[self.sep_token_id]
      lowerCamelCase_       	=		[2]

      if token_ids_a is None:
        return len(token_ids_a + sep   ) * [0] + cls_segment_id
      return len(token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1] + cls_segment_id






    def   UpperCamelCase			(			self	:				Any			,		__SCREAMING_SNAKE_CASE	:				str			,		__SCREAMING_SNAKE_CASE	:				Optional[str] = None   )	->						Tuple[str]:
      if not self.can_save_slow_tokenizer:
        raise ValueError(
            'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
            'tokenizer.'   )

      if not os.path.isdir(__SCREAMING_SNAKE_CASE   ):
        logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''   )
        return
      lowerCamelCase_       	=		os.path.join(
          __SCREAMING_SNAKE_CASE			,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )

      if os.path.abspath(self.vocab_file   ) != os.path.abspath(__SCREAMING_SNAKE_CASE   ):
        copyfile(self.vocab_file			,		__SCREAMING_SNAKE_CASE   )

      return (out_vocab_file,)












"""simple docstring"""





from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403







def 	lowerCamelCase__			(				_lowerCamelCase			:						str						,							_lowerCamelCase			:						complex						,							_lowerCamelCase			:						str = "x"						,							_lowerCamelCase			:						float = 10**-10						,							_lowerCamelCase			:						int = 1						,							) ->							complex:
  lowerCamelCase_       	=		symbols(_lowerCamelCase					)
  lowerCamelCase_       	=		lambdify(_lowerCamelCase						,							_lowerCamelCase					)
  lowerCamelCase_       	=		lambdify(_lowerCamelCase						,							diff(_lowerCamelCase						,							_lowerCamelCase					)					)

  lowerCamelCase_       	=		starting_point

  while True:
    if diff_function(_lowerCamelCase					) != 0:
      lowerCamelCase_       	=		prev_guess - multiplicity * func(_lowerCamelCase					) / diff_function(
          _lowerCamelCase					)
    else:
      raise ZeroDivisionError('Could not find root'					) from None

    # Precision is checked by comparing the difference of consecutive guesses
    if abs(next_guess - prev_guess					) < precision:
      return next_guess

    lowerCamelCase_       	=		next_guess


# Let's Execute
if __name__ == "__main__":
  # Find root of trigonometric function
  # Find value of pi
  print(F'''The root of sin(x) = 0 is {newton_raphson('sin(x)', 2)}''')

  # Find root of polynomial
  # Find fourth Root of 5
  print(F'''The root of x**4 - 5 = 0 is {newton_raphson('x**4 -5', 0.4 +5j)}''')

  # Find value of e
  print(
      '''The root of log(y) - 1 = 0 is ''',
      F'''{newton_raphson('log(y) - 1', 2, variable='y')}''',
  )

  # Exponential Roots
  print(
      '''The root of exp(x) - 1 = 0 is''',
      F'''{newton_raphson('exp(x) - 1', 10, precision=0.005)}''',
  )

  # Find root of cos(x)
  print(F'''The root of cos(x) = 0 is {newton_raphson('cos(x)', 0)}''')




